Booking.com Scraper

Overview

The Booking.com Scraper captures hotel and property data at scale: names, star ratings, nightly prices per room type, availability, guest review scores, review text, facilities, policies, and locations. Travel analysts and agencies use it for rate shopping, market coverage studies, and keeping listings competitive. Search results and property pages are rendered in a real browser on Apify's cloud, so JavaScript-loaded prices and availability come through reliably. Schedule daily runs to track seasonal price movements, then export structured data to Excel, CSV, or JSON for rate-parity reports and revenue-management models.

Key Features

Input Parameters

Sample Output

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]

How to Use

1. 1

   Sign up for free: Create a free ParseFlow account to access professional extraction tools.

2. 2

   Set your parameters: Paste the target URLs into the Booking.com Scraper configuration.

3. 3

   Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.

API Example

curl -X POST https://api.apify.com/v2/acts/voyager/booking-scraper/runs \
  -H 'Content-Type: application/json' \
  -H 'Authorization: Bearer YOUR_API_TOKEN' \
  -d '{"startUrls": [{"url": "https://example.com"}]}'

Pricing Structure

Pay-per-result model starting at $2.00 per 1,000 scraped places. The $5 free monthly credit covers initial runs; paid plans add volume discounts.

Limitations

• Data extraction speed depends on the target website's rate limits.
• Extremely massive runs may require a premium proxy pool.

Frequently Asked Questions